Abbott Laboratories (ABT) Capital Expenditures (2009 - 2026)
Abbott Laboratories (ABT) recorded Capital Expenditures of $497 million in Q2 2026, down 1.0% from $502 million a year earlier but up 24.6% from the prior quarter.
Abbott Laboratories (ABT) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Abbott Laboratories' Capital Expenditures came in at $2.08 billion as of Jun 30, 2026, down 8.0% year-over-year; for FY2025, it came in at $2.17 billion, down 1.6% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $2.21 billion in FY2024 (+0.2%), $2.2 billion in FY2023 (+23.9%), $1.78 billion in FY2022 (-5.7%) and $1.89 billion in FY2021 (-13.4%).
- Quarterly Capital Expenditures has ranged from $321 million in Q1 2022 to $755 million in Q4 2023 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for five consecutive quarters, with an average decline of 2.9% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 33.8% in Q2 2023, against a decline of 19.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $399 million (Q1 2026), $689 million (Q4 2025) and $496 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 80.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 497.00 Mn |
| Mar 31, 2026 | 399.00 Mn |
| Dec 31, 2025 | 689.00 Mn |
| Sep 30, 2025 | 496.00 Mn |
| Jun 30, 2025 | 502.00 Mn |
| Mar 31, 2025 | 484.00 Mn |
| Dec 31, 2024 | 720.00 Mn |
| Sep 30, 2024 | 556.00 Mn |
| Jun 30, 2024 | 533.00 Mn |
| Mar 31, 2024 | 398.00 Mn |
| Dec 31, 2023 | 755.00 Mn |
| Sep 30, 2023 | 560.00 Mn |
| Jun 30, 2023 | 507.00 Mn |
| Mar 31, 2023 | 380.00 Mn |
| Dec 31, 2022 | 610.00 Mn |
| Sep 30, 2022 | 467.00 Mn |
| Jun 30, 2022 | 379.00 Mn |
| Mar 31, 2022 | 321.00 Mn |
| Dec 31, 2021 | 614.00 Mn |
| Sep 30, 2021 | 461.00 Mn |
Abbott Laboratories Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ABT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();